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AUSTIN
MAKASARE

Node.jsPostgreSQLRedisDocker

OPEN FOR FREELANCE / FULL-TIME

BASED IN INDIA
REMOTE-READY

Backend Infrastructure Architecture Diagram
REAL-TIME · FAULT-TOLERANT
SYSTEMS: DISTRIBUTED

Full products, shipped end to end —
design, build & deploy.

DESIGN & CODE BY AUSTIN

I ship complete products — architecture to deployment.

FULL STACK
ENGINEER

BACKEND&APIs
SYSTEMS&INFRA
0.0K
PEAK CONCURRENT WS
0%
SOLO-BUILT END-TO-END
0YR
INDUSTRY EXPERIENCE
// ABOUT ME

BUILDING THINGS THAT DON'T BREAK.

I'm a backend-focused full-stack engineer with an MSc and BSc in Computer Science, building production-grade systems, from distributed job queues to APIs battle-tested under real concurrent load.

My work focuses on the unglamorous but critical parts of software: queues that don't lose jobs, locks that don't deadlock, infrastructure that auto-scales. I care about reliability, not just features: the kind of backend you don't get paged for at 3am.

Node.jsTypeScriptPostgreSQLRedisBullMQNext.jsPrismaAWSDockerREST APIsEvent-drivenSystem Design
// HOW I BUILD

FIRST PRINCIPLES.

Everything I ship derives from five core axioms. They decide the trade-offs before the first line of code.

01

RELIABILITY OVER FEATURES.

A feature that fails silently is worse than one that never shipped.

02

DESIGN FOR FAILURE.

Networks partition, disks fill, processes die — every system assumes the worst path.

03

IDEMPOTENCY IS NON-NEGOTIABLE.

An operation is safe to run twice, or it does not ship.

04

OBSERVABILITY BY DEFAULT.

You cannot fix what you cannot see — logs, metrics, and traces ship with the feature.

05

SIMPLE SCALES.

The most scalable system is the one you can still reason about at 3am.

PRINCIPLES ARE CHEAP. HERE'S THE PROOF.

// SELECTED WORK

WHAT I'VE SHIPPED.

BACKEND · REAL-TIME · INFRA · 2024–2026

QUIZBUZZ

Multi-tenant quiz platform load-tested to 7,500 concurrent WebSocket users against a 10K-user architecture — built solo end-to-end, from architecture to load testing.

7,500
Peak concurrent in-quiz
0
Answers scored twice
24
Production bugs documented
View Case Study →
AI AGENTS · GITHUB APP · 2026 · IN PROGRESS

PR SENTINEL

AI pull-request reviewer: a verified webhook queues the review, an orchestrator runs specialised agents in parallel waves with permission-scoped tools, and line comments land back on the PR.

11
Specialised agents
12×
Fewer GitHub calls
7 → 68
Tests
View Case Study →
FULLSTACK · SAAS · ASYNC · 2025–2026

SMARTFORMFLOW

Multi-tenant event SaaS — payments, automated certificates, and WhatsApp delivery, engineered around async workers and global contact deduplication.

25+
Database models
5
Docker services
0
Cross-tenant leaks
View Case Study →

Skills

SYSTEMS.

Distributed job queues, Redis-backed locking, event-driven architecture, and fault-tolerant async pipelines.

BACKEND.

Node.js APIs at scale, PostgreSQL with Prisma ORM, RESTful design, authentication, and real-time WebSocket layers.

INFRA.

AWS auto-scaling, Docker containerization, CI/CD pipelines, monitoring, and zero-downtime deployments.

// NOW
// BUILDING
BUILDING.
PR Sentinel — an AI pull-request reviewer: parallel agent waves, a commit-keyed GitHub cache, and a live review dashboard
// LEARNING
LEARNING.
Distributed systems design — reading Designing Data-Intensive Applications
// STATUS
STATUS.
Open to SDE-1 full-stack & backend roles · Remote preferred · India OK

BOOK A CALL

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Let's connect and create something thoughtful.

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Open my full resume: experience, projects, and education.